LiquidAI Launches 3B Vision-Language Model LFM2.5-VL, Outscoring Larger Rivals
JosephJacks_ · x · 2026-08-13
LiquidAI has released LFM2.5-VL-3B, a lightweight vision-language model designed for fast instruction following, excellent grounding, and OCR capabilities. Built on the LFM2.5-2.6B base with a SigLIP2 400M vision encoder, it was pre-trained on approximately 34T tokens.
Despite its compact 3B parameter size, the model achieves comparable or better scores than models up to 2.6x its size:
- ScreenSpot-v2: 80.7 (beating Gemma-4-E4B at 51.2)
- RealWorldQA: 73.1 (beating InternVL-3.5-4B at 67.7)
- TextVQA: 84.3 (beating Qwen3.5-4B at 81.2)
The model is now available on Hugging Face, alongside a WebGPU demo for in-browser testing.
Related event: LiquidAI Releases LFM2.5-VL-3B Edge Multimodal Model(7 posts)→
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